The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review

Smart Learning Environments, Journal Year: 2024, Volume and Issue: 11(1)

Published: June 18, 2024

Abstract The growing integration of artificial intelligence (AI) dialogue systems within educational and research settings highlights the importance learning aids. Despite examination ethical concerns associated with these technologies, there is a noticeable gap in investigations on how issues AI contribute to students’ over-reliance systems, such affects cognitive abilities. Overreliance occurs when users accept AI-generated recommendations without question, leading errors task performance context decision-making. This typically arises individuals struggle assess reliability or much trust place its suggestions. systematic review investigates particularly those embedded generative models for academic learning, their critical capabilities including decision-making, thinking, analytical reasoning. By using Preferred Reporting Items Systematic Reviews Meta-Analyses (PRISMA) guidelines, our evaluated body literature addressing contributing factors effects contexts. comprehensive spanned 14 articles retrieved from four distinguished databases: ProQuest, IEEE Xplore, ScienceDirect, Web Science. Our findings indicate that stemming impacts abilities, as increasingly favor fast optimal solutions over slow ones constrained by practicality. tendency explains why prefer efficient shortcuts, heuristics, even amidst presented technologies.

Language: Английский

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Using artificial intelligence in academic writing and research: An essential productivity tool

Computer Methods and Programs in Biomedicine Update, Journal Year: 2024, Volume and Issue: 5, P. 100145 - 100145

Published: Jan. 1, 2024

Academic writing is an essential component of research, characterized by structured expression ideas, data-driven arguments, and logical reasoning. However, it poses challenges such as handling vast amounts information complex ideas. The integration Artificial Intelligence (AI) into academic has become increasingly important, offering solutions to these challenges. This review aims explore specific domains where AI significantly supports writing. A systematic literature from databases like PubMed, Embase, Google Scholar, published since 2019, was conducted. Studies were included based on relevance AI's application in focusing assistance, grammar improvement, structure optimization, other related aspects. search identified 24 studies through which six core helps research: 1) facilitating idea generation research design, 2) improving content structuring, 3) supporting synthesis, 4) enhancing data management analysis, 5) editing, review, publishing, 6) assisting communication, outreach, ethical compliance. ChatGPT shown substantial potential areas, though maintaining integrity balancing use with human insight remain. revolutionises across various domains. Recommendations include broader tools workflows, emphasizing transparent use, providing adequate training for researchers, a balance between utility insight. Ongoing development are address emerging considerations academia.

Language: Английский

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GenAI et al.: Cocreation, Authorship, Ownership, Academic Ethics and Integrity in a Time of Generative AI

Open Praxis, Journal Year: 2024, Volume and Issue: 16(1), P. 1 - 10

Published: Jan. 1, 2024

This paper investigates the complex interplay between generative artificial intelligence (AI) and human intellect in academic writing publishing. It examines 'organic versus synthetic' paradox, emphasizing implications of using AI tools educational integrity contexts. The critiques prevalent 'publish or perish' culture academia, highlighting need for systemic reevaluation due to AI's emerging role reporting. delves into legal ethical challenges authorship ownership, especially relation copyright laws AI-generated content. discusses diverse roles advocates transparent reporting uphold integrity. Additionally, it calls a broader examination stresses new mechanisms identify use ensure adherence ethics. are also explored, suggesting innovative AI-inclusive strategies academia. concludes by significance various information-processing domains, urgency adapt transform practices an era rapid AI-driven change.

Language: Английский

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Techniques for supercharging academic writing with generative AI

Nature Biomedical Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: March 18, 2024

Language: Английский

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Artificial intelligence large language model ChatGPT: is it a trustworthy and reliable source of information for sarcoma patients?

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: March 22, 2024

Introduction Since its introduction in November 2022, the artificial intelligence large language model ChatGPT has taken world by storm. Among other applications it can be used patients as a source of information on diseases and their treatments. However, little is known about quality sarcoma-related provides. We therefore aimed at analyzing how sarcoma experts evaluate ChatGPT’s responses inquiries assess bot’s answers specific evaluation metrics. Methods The to sample 25 questions (5 definitions, 9 general questions, 11 treatment-related inquiries) were evaluated 3 independent experts. Each response was compared with authoritative resources international guidelines graded 5 different metrics using 5-point Likert scale: completeness, misleadingness, accuracy, being up-to-date, appropriateness. This resulted maximum minimum points per answer, higher scores indicating quality. Scores ≥21 rated very good, between 16 20 while ≤15 classified poor (11–15) (≤10). Results median score that achieved 18.3 (IQR, i.e., Inter-Quartile Range, 12.3–20.3 points). Six each poor. best documented appropriate for (median, 3.7 points; IQR, 2.5–4.2 points), which significantly accuracy 3.3 2.0–4.2 p = 0.035). fared considerably worse only 45% good or (78% good/very good) definitions (60% good). Discussion provided rare disease, such sarcoma, found inconsistent quality, some others Sarcoma physicians should aware risks misinformation poses advise accordingly.

Language: Английский

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Systematic analysis of generative AI tools integration in academic research and peer review

Online Journal of Communication and Media Technologies, Journal Year: 2025, Volume and Issue: 15(1), P. e202502 - e202502

Published: Jan. 6, 2025

While sparking a big debate among academics, generative artificial intelligence (GAI) tools are becoming integral to academic research, holding the potential transform traditional research and peer review methods. This systematic literature investigates emergent role of GAI in workflow scholarly publications by analyzing 44 articles. The process identifying most relevant was done following preferred reporting items for reviews meta-analyses method. findings provide thorough understanding how is currently being utilized various aspects process, including concerns, limitations, proactive measures better employ these effectively. Our suggests need more develop appropriate policies guidelines, enhance researchers’ literacy through targeted training, ensure ethical use boost productivity quality.

Language: Английский

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Advancing Language Assessment with GPT: Is It Nonnative-Language Friendly?

Language Assessment Quarterly, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 28

Published: Jan. 6, 2025

Despite the growing interest in AI for language assessment, there remains a significant research gap regarding its usefulness assessing less proficient skills, particularly those of learners English as second or foreign (S/FL). models often prioritize writing, neglecting intricacies learner language. This study addresses this by evaluating capacity to replicate written performances both L1 and L2 novice academic writers, with focus on formulaic Using an tool based GPT-2 model, two AI-generated essay corpora were created closely resemble existing L1- L2-English argumentative essays first-year university students. The comparative analysis reveals AI's inability accurately S/FL Notably, model failed generate typical "learner bundles," which are patterns considered unique characteristic learners. findings indicate urgent need improving technology more effectively represent diverse linguistic attributes language, improvement may play critical role fair effective assessment.

Language: Английский

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Integrating Artificial Intelligence in Medical Writing: Balancing Technological Innovation and Human Expertise, with Practical Applications in Lower Extremity Wounds Care

The International Journal of Lower Extremity Wounds, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 12, 2025

Artificial Intelligence (AI) is revolutionizing medical writing by enhancing the efficiency and precision of healthcare communication health research. This review explores transformative integration AI in writing, highlighting its dual role while maintaining crucial elements human expertise. technologies, including natural language processing AI-driven literature tools, have significantly advanced, facilitating rapid draft generation, summarization, consistency documentation. Key applications include aiding study design, content drafting, optimizing reviews through specific tools. Moreover, this delves into practical context lower extremity wounds, specifically ischemic leg ulcers, demonstrating how can streamline synthesis relevant literature. While presents notable advantages, it also raises ethical concerns, such as potential biases data privacy issues, need for oversight process. A proposed future framework suggests that could take over routine tasks, allowing writers to devote more attention analytical aspects. Additionally, there a strong further research on cost-effectiveness both clinical trials utilizing interventions incorporation writing. Ultimately, balancing promises improve research, ensuring production high-quality, patient-centric research-focused content.

Language: Английский

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Using large language models to facilitate academic work in the psychological sciences

Current Psychology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Language: Английский

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Artificial intelligence in academic Research: Contributor, constructivist or cheat?

The Journal of Marketing Theory and Practice, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: Jan. 29, 2025

Language: Английский

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